Overview

Dataset statistics

Number of variables10
Number of observations55
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory86.4 B

Variable types

Categorical2
Text3
Numeric4
DateTime1

Dataset

Description제주특별자치도에 소재한 장례식장과 관련한 데이터로 구분, 시설명, 소재지, 전화번호, 면적, 안치실수, 분양실, 식당(수용인원) 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15056180/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
면적 is highly overall correlated with 분양실 and 2 other fieldsHigh correlation
안치실수 is highly overall correlated with 구분High correlation
분양실 is highly overall correlated with 면적 and 2 other fieldsHigh correlation
식당(수용인원) is highly overall correlated with 면적 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 면적 and 3 other fieldsHigh correlation
행정시 is highly overall correlated with 구분High correlation
전화번호 has 2 (3.6%) missing valuesMissing
시설명 has unique valuesUnique
소재지 has unique valuesUnique
안치실수 has 8 (14.5%) zerosZeros
분양실 has 6 (10.9%) zerosZeros
식당(수용인원) has 7 (12.7%) zerosZeros

Reproduction

Analysis started2023-12-12 11:28:26.900080
Analysis finished2023-12-12 11:28:31.193020
Duration4.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
마을 장례식장
26 
종교시설 장례식장
19 
전문 장례식장
10 

Length

Max length9
Median length7
Mean length7.6909091
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전문 장례식장
2nd row전문 장례식장
3rd row전문 장례식장
4th row전문 장례식장
5th row전문 장례식장

Common Values

ValueCountFrequency (%)
마을 장례식장 26
47.3%
종교시설 장례식장 19
34.5%
전문 장례식장 10
 
18.2%

Length

2023-12-12T20:28:31.329777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:31.536551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
장례식장 55
50.0%
마을 26
23.6%
종교시설 19
 
17.3%
전문 10
 
9.1%

행정시
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
서귀포시
29 
제주시
26 

Length

Max length4
Median length4
Mean length3.5272727
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주시
2nd row제주시
3rd row제주시
4th row제주시
5th row제주시

Common Values

ValueCountFrequency (%)
서귀포시 29
52.7%
제주시 26
47.3%

Length

2023-12-12T20:28:31.765823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:31.962112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 29
52.7%
제주시 26
47.3%

시설명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T20:28:32.298103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.5090909
Min length4

Characters and Unicode

Total characters413
Distinct characters104
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row제주의료원 장례식장
2nd row그랜드부민 장례식장
3rd row우선종합(주)장례식장
4th row제주대학교 병원장례식장
5th row한림정낭 장례식장
ValueCountFrequency (%)
장례식장 7
 
7.7%
복지회관 7
 
7.7%
공동묘지 5
 
5.5%
마을공동묘지 4
 
4.4%
의례회관 3
 
3.3%
문화회관 2
 
2.2%
서문성당 2
 
2.2%
고산성당 2
 
2.2%
공설묘지 2
 
2.2%
사계리산방복지회관 1
 
1.1%
Other values (56) 56
61.5%
2023-12-12T20:28:32.846011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
8.7%
성 21
 
5.1%
지 19
 
4.6%
장 19
 
4.6%
당 19
 
4.6%
공 14
 
3.4%
례 14
 
3.4%
회 14
 
3.4%
관 13
 
3.1%
동 12
 
2.9%
Other values (94) 232
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
88.9%
Space Separator 36
 
8.7%
Decimal Number 6
 
1.5%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 21
 
5.7%
지 19
 
5.2%
장 19
 
5.2%
당 19
 
5.2%
공 14
 
3.8%
례 14
 
3.8%
회 14
 
3.8%
관 13
 
3.5%
동 12
 
3.3%
리 11
 
3.0%
Other values (89) 211
57.5%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
2 2
33.3%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
88.9%
Common 46
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 21
 
5.7%
지 19
 
5.2%
장 19
 
5.2%
당 19
 
5.2%
공 14
 
3.8%
례 14
 
3.8%
회 14
 
3.8%
관 13
 
3.5%
동 12
 
3.3%
리 11
 
3.0%
Other values (89) 211
57.5%
Common
ValueCountFrequency (%)
36
78.3%
1 4
 
8.7%
) 2
 
4.3%
( 2
 
4.3%
2 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
88.9%
ASCII 46
 
11.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
78.3%
1 4
 
8.7%
) 2
 
4.3%
( 2
 
4.3%
2 2
 
4.3%
Hangul
ValueCountFrequency (%)
성 21
 
5.7%
지 19
 
5.2%
장 19
 
5.2%
당 19
 
5.2%
공 14
 
3.8%
례 14
 
3.8%
회 14
 
3.8%
관 13
 
3.5%
동 12
 
3.3%
리 11
 
3.0%
Other values (89) 211
57.5%

소재지
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T20:28:33.369343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length22.654545
Min length18

Characters and Unicode

Total characters1246
Distinct characters104
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 산천단남길 10
2nd row제주특별자치도 제주시 연북로 378
3rd row제주특별자치도 제주시 조천읍 함덕남2길 14
4th row제주특별자치도 제주시 아란13길 15
5th row제주특별자치도 제주시 한림읍 명랑로 76
ValueCountFrequency (%)
제주특별자치도 55
21.7%
서귀포시 29
 
11.5%
제주시 26
 
10.3%
대정읍 5
 
2.0%
안덕면 5
 
2.0%
성산읍 4
 
1.6%
한경면 4
 
1.6%
남원읍 4
 
1.6%
10 3
 
1.2%
조천읍 3
 
1.2%
Other values (108) 115
45.5%
2023-12-12T20:28:34.162078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
15.9%
제 83
 
6.7%
주 81
 
6.5%
도 58
 
4.7%
자 57
 
4.6%
특 55
 
4.4%
별 55
 
4.4%
치 55
 
4.4%
시 55
 
4.4%
1 38
 
3.0%
Other values (94) 511
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 876
70.3%
Space Separator 198
 
15.9%
Decimal Number 159
 
12.8%
Dash Punctuation 13
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 83
 
9.5%
주 81
 
9.2%
도 58
 
6.6%
자 57
 
6.5%
특 55
 
6.3%
별 55
 
6.3%
치 55
 
6.3%
시 55
 
6.3%
로 36
 
4.1%
서 35
 
4.0%
Other values (82) 306
34.9%
Decimal Number
ValueCountFrequency (%)
1 38
23.9%
2 27
17.0%
4 15
 
9.4%
8 14
 
8.8%
7 13
 
8.2%
5 13
 
8.2%
0 12
 
7.5%
3 12
 
7.5%
6 9
 
5.7%
9 6
 
3.8%
Space Separator
ValueCountFrequency (%)
198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 876
70.3%
Common 370
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 83
 
9.5%
주 81
 
9.2%
도 58
 
6.6%
자 57
 
6.5%
특 55
 
6.3%
별 55
 
6.3%
치 55
 
6.3%
시 55
 
6.3%
로 36
 
4.1%
서 35
 
4.0%
Other values (82) 306
34.9%
Common
ValueCountFrequency (%)
198
53.5%
1 38
 
10.3%
2 27
 
7.3%
4 15
 
4.1%
8 14
 
3.8%
- 13
 
3.5%
7 13
 
3.5%
5 13
 
3.5%
0 12
 
3.2%
3 12
 
3.2%
Other values (2) 15
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 876
70.3%
ASCII 370
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
53.5%
1 38
 
10.3%
2 27
 
7.3%
4 15
 
4.1%
8 14
 
3.8%
- 13
 
3.5%
7 13
 
3.5%
5 13
 
3.5%
0 12
 
3.2%
3 12
 
3.2%
Other values (2) 15
 
4.1%
Hangul
ValueCountFrequency (%)
제 83
 
9.5%
주 81
 
9.2%
도 58
 
6.6%
자 57
 
6.5%
특 55
 
6.3%
별 55
 
6.3%
치 55
 
6.3%
시 55
 
6.3%
로 36
 
4.1%
서 35
 
4.0%
Other values (82) 306
34.9%

전화번호
Text

MISSING 

Distinct52
Distinct (%)98.1%
Missing2
Missing (%)3.6%
Memory size572.0 B
2023-12-12T20:28:34.541585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters636
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)96.2%

Sample

1st row064-720-2222
2nd row064-744-4444
3rd row064-727-4444
4th row064-717-2900
5th row064-796-9644
ValueCountFrequency (%)
064-738-9360 2
 
3.8%
064-773-2217 1
 
1.9%
064-782-3784 1
 
1.9%
064-720-2222 1
 
1.9%
064-787-0024 1
 
1.9%
064-764-0187 1
 
1.9%
064-764-1000 1
 
1.9%
064-794-9008 1
 
1.9%
064-794-2611 1
 
1.9%
064-794-9371 1
 
1.9%
Other values (42) 42
79.2%
2023-12-12T20:28:35.098835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 106
16.7%
4 101
15.9%
0 95
14.9%
7 82
12.9%
6 76
11.9%
2 39
 
6.1%
3 38
 
6.0%
1 35
 
5.5%
9 29
 
4.6%
8 25
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 530
83.3%
Dash Punctuation 106
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 101
19.1%
0 95
17.9%
7 82
15.5%
6 76
14.3%
2 39
 
7.4%
3 38
 
7.2%
1 35
 
6.6%
9 29
 
5.5%
8 25
 
4.7%
5 10
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 106
16.7%
4 101
15.9%
0 95
14.9%
7 82
12.9%
6 76
11.9%
2 39
 
6.1%
3 38
 
6.0%
1 35
 
5.5%
9 29
 
4.6%
8 25
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 106
16.7%
4 101
15.9%
0 95
14.9%
7 82
12.9%
6 76
11.9%
2 39
 
6.1%
3 38
 
6.0%
1 35
 
5.5%
9 29
 
4.6%
8 25
 
3.9%

면적
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean557.66382
Minimum16.5
Maximum4046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:28:35.364870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.5
5-th percentile46.162
Q1151.1
median287.1
Q3512.5
95-th percentile2237.6
Maximum4046
Range4029.5
Interquartile range (IQR)361.4

Descriptive statistics

Standard deviation809.9259
Coefficient of variation (CV)1.4523551
Kurtosis9.1839084
Mean557.66382
Median Absolute Deviation (MAD)184.7
Skewness2.9693886
Sum30671.51
Variance655979.96
MonotonicityNot monotonic
2023-12-12T20:28:35.622769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.0 2
 
3.6%
99.0 2
 
3.6%
468.6 2
 
3.6%
165.0 2
 
3.6%
157.0 1
 
1.8%
495.0 1
 
1.8%
494.9 1
 
1.8%
491.56 1
 
1.8%
809.88 1
 
1.8%
471.8 1
 
1.8%
Other values (41) 41
74.5%
ValueCountFrequency (%)
16.5 1
1.8%
19.8 1
1.8%
39.54 1
1.8%
49.0 1
1.8%
80.0 1
1.8%
99.0 2
3.6%
99.36 1
1.8%
99.96 1
1.8%
101.07 1
1.8%
118.8 1
1.8%
ValueCountFrequency (%)
4046.0 1
1.8%
3598.0 1
1.8%
2316.0 1
1.8%
2204.0 1
1.8%
2088.0 1
1.8%
997.0 1
1.8%
973.0 1
1.8%
876.0 1
1.8%
870.0 1
1.8%
809.88 1
1.8%

안치실수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2545455
Minimum0
Maximum26
Zeros8
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:28:35.853910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q32.5
95-th percentile12.6
Maximum26
Range26
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation4.6635632
Coefficient of variation (CV)1.4329384
Kurtosis10.451459
Mean3.2545455
Median Absolute Deviation (MAD)1
Skewness2.9838142
Sum179
Variance21.748822
MonotonicityNot monotonic
2023-12-12T20:28:36.057306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 21
38.2%
1 12
21.8%
0 8
 
14.5%
4 6
 
10.9%
12 2
 
3.6%
10 2
 
3.6%
14 2
 
3.6%
26 1
 
1.8%
3 1
 
1.8%
ValueCountFrequency (%)
0 8
 
14.5%
1 12
21.8%
2 21
38.2%
3 1
 
1.8%
4 6
 
10.9%
10 2
 
3.6%
12 2
 
3.6%
14 2
 
3.6%
26 1
 
1.8%
ValueCountFrequency (%)
26 1
 
1.8%
14 2
 
3.6%
12 2
 
3.6%
10 2
 
3.6%
4 6
 
10.9%
3 1
 
1.8%
2 21
38.2%
1 12
21.8%
0 8
 
14.5%

분양실
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7272727
Minimum0
Maximum9
Zeros6
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:28:36.258513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6827507
Coefficient of variation (CV)0.97422407
Kurtosis6.1128958
Mean1.7272727
Median Absolute Deviation (MAD)0
Skewness2.2392434
Sum95
Variance2.8316498
MonotonicityNot monotonic
2023-12-12T20:28:36.548032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 30
54.5%
2 9
 
16.4%
0 6
 
10.9%
5 3
 
5.5%
3 3
 
5.5%
4 2
 
3.6%
9 1
 
1.8%
6 1
 
1.8%
ValueCountFrequency (%)
0 6
 
10.9%
1 30
54.5%
2 9
 
16.4%
3 3
 
5.5%
4 2
 
3.6%
5 3
 
5.5%
6 1
 
1.8%
9 1
 
1.8%
ValueCountFrequency (%)
9 1
 
1.8%
6 1
 
1.8%
5 3
 
5.5%
4 2
 
3.6%
3 3
 
5.5%
2 9
 
16.4%
1 30
54.5%
0 6
 
10.9%

식당(수용인원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.32727
Minimum0
Maximum1052
Zeros7
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T20:28:36.750958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q180
median100
Q3165
95-th percentile385.6
Maximum1052
Range1052
Interquartile range (IQR)85

Descriptive statistics

Standard deviation194.63356
Coefficient of variation (CV)1.2371254
Kurtosis13.689829
Mean157.32727
Median Absolute Deviation (MAD)50
Skewness3.4847224
Sum8653
Variance37882.224
MonotonicityNot monotonic
2023-12-12T20:28:36.996586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
100 12
21.8%
0 7
12.7%
150 5
9.1%
50 4
 
7.3%
120 4
 
7.3%
200 3
 
5.5%
80 3
 
5.5%
130 2
 
3.6%
180 2
 
3.6%
60 2
 
3.6%
Other values (10) 11
20.0%
ValueCountFrequency (%)
0 7
12.7%
50 4
 
7.3%
60 2
 
3.6%
80 3
 
5.5%
96 1
 
1.8%
100 12
21.8%
120 4
 
7.3%
130 2
 
3.6%
145 1
 
1.8%
150 5
9.1%
ValueCountFrequency (%)
1052 1
 
1.8%
1000 1
 
1.8%
520 1
 
1.8%
328 1
 
1.8%
300 2
3.6%
260 1
 
1.8%
250 1
 
1.8%
200 3
5.5%
192 1
 
1.8%
180 2
3.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2023-02-16 00:00:00
Maximum2023-02-16 00:00:00
2023-12-12T20:28:37.181758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:37.354809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T20:28:30.110845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:28.225694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:28.881491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:29.518240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:30.295029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:28.390282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:29.064493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:29.682053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:30.463252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:28.562678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:29.210235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:29.824200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:30.604972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:28.724081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:29.365340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:29.957635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:28:37.508194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정시시설명소재지전화번호면적안치실수분양실식당(수용인원)
구분1.0000.5491.0001.0001.0000.9070.8860.7260.770
행정시0.5491.0001.0001.0001.0000.3720.2150.5250.422
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
면적0.9070.3721.0001.0001.0001.0000.9600.8680.909
안치실수0.8860.2151.0001.0001.0000.9601.0000.8860.917
분양실0.7260.5251.0001.0001.0000.8680.8861.0000.811
식당(수용인원)0.7700.4221.0001.0001.0000.9090.9170.8111.000
2023-12-12T20:28:37.731709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분행정시
구분1.0000.809
행정시0.8091.000
2023-12-12T20:28:37.885896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적안치실수분양실식당(수용인원)구분행정시
면적1.0000.3080.7600.5090.6160.254
안치실수0.3081.0000.4860.2590.5800.143
분양실0.7600.4861.0000.6260.5890.370
식당(수용인원)0.5090.2590.6261.0000.4340.289
구분0.6160.5800.5890.4341.0000.809
행정시0.2540.1430.3700.2890.8091.000

Missing values

2023-12-12T20:28:30.826965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:28:31.085480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구분행정시시설명소재지전화번호면적안치실수분양실식당(수용인원)데이터기준일자
0전문 장례식장제주시제주의료원 장례식장제주특별자치도 제주시 산천단남길 10064-720-2222870.01242602023-02-16
1전문 장례식장제주시그랜드부민 장례식장제주특별자치도 제주시 연북로 378064-744-44444046.026910522023-02-16
2전문 장례식장제주시우선종합(주)장례식장제주특별자치도 제주시 조천읍 함덕남2길 14064-727-4444997.01041202023-02-16
3전문 장례식장제주시제주대학교 병원장례식장제주특별자치도 제주시 아란13길 15064-717-29002316.01451452023-02-16
4전문 장례식장제주시한림정낭 장례식장제주특별자치도 제주시 한림읍 명랑로 76064-796-9644876.0432502023-02-16
5전문 장례식장제주시그린 장례식장제주특별자치도 제주시 조천읍 함덕남2길 19-10064-784-4114734.0431302023-02-16
6전문 장례식장제주시김녕농협 장례문화센터제주특별자치도 제주시 구좌읍 김송로 102064-783-6511973.0422002023-02-16
7전문 장례식장제주시하귀농협 장례식장제주특별자치도 제주시 애월읍 애조로 405064-798-88003598.010510002023-02-16
8전문 장례식장제주시(주)그랜드중앙중앙 장례식장제주특별자치도 제주시 월랑로 91064-721-10002088.01265202023-02-16
9전문 장례식장서귀포시서귀포의료원제주특별자치도 서귀포시 장수로 47064-730-36102204.01453282023-02-16
구분행정시시설명소재지전화번호면적안치실수분양실식당(수용인원)데이터기준일자
45마을 장례식장서귀포시하예2 복지회관제주특별자치도 서귀포시 예래로 416-2064-738-5630165.5111202023-02-16
46마을 장례식장서귀포시무릉1리 마을공동묘지제주특별자치도 서귀포시 대정읍 무릉리 1748064-792-1732133.02002023-02-16
47마을 장례식장서귀포시신도1리 마을공동묘지제주특별자치도 서귀포시 대정읍 신도리 227064-792-222499.962002023-02-16
48마을 장례식장서귀포시읍오개리 공동묘지제주특별자치도 서귀포시 대정읍 동일리 2081-1<NA>99.02002023-02-16
49마을 장례식장서귀포시가파리 마을공동묘지제주특별자치도 서귀포시 대정읍 가파리 3064-794-713099.362002023-02-16
50마을 장례식장서귀포시영락리 마을공동묘지제주특별자치도 서귀포시 대정읍 영락리 43-1064-792-2106125.642002023-02-16
51마을 장례식장서귀포시성읍리 공동묘지제주특별자치도 서귀포시 성산읍 성읍리 산18-1064-787-1306165.02102023-02-16
52마을 장례식장서귀포시남원읍 공설묘지제주특별자치도 서귀포시 남원읍 한남리 산158-3064-760-4134227.5422002023-02-16
53마을 장례식장서귀포시신하례 공동묘지제주특별자치도 서귀포시 남원읍 신례리 산57064-767-244419.83002023-02-16
54마을 장례식장서귀포시도순마을 공동묘지제주특별자치도 서귀포시 도순동 116064-739-072599.021502023-02-16